TIME SERIES FROM SENTINEL-2 FOR ORGANIC DURUM WHEAT YIELD PREDICTION USING FUNCTIONAL DATA ANALYSIS AND DEEP LEARNING

Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning

Yield prediction is a crucial dorisvale station for sale activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain.This research aims to develop a yield forecasting system by combining vegetation index time-series data from Sentinel-2 L

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Study on the comparison of key issues of Codex Commission on Food Additives(CCFA) and corresponding food additive management in China

Objective To compare the key issues discussed in the recent meetings of the Codex Commission on Food Additives(CCFA) with the relevant standards in China, and to analyze the rationality, practicability and existing problems of the standard management in China.Methods To collect the CCFA discussion on food category 01.1 revision of the "milk and mil

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